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Cardiac Magnetic Resonance (CMR) imaging is widely used for heart model reconstruction and digital twin computational analysis because of its ability to visualize soft tissues and capture dynamic functions. However, CMR images have an…

Large prospective epidemiological studies acquire cardiovascular magnetic resonance (CMR) images for pre-symptomatic populations and follow these over time. To support this approach, fully automatic large-scale 3D analysis is essential. In…

Image and Video Processing · Electrical Eng. & Systems 2019-07-04 Rahman Attar , Marco Pereanez , Christopher Bowles , Stefan K. Piechnik , Stefan Neubauer , Steffen E. Petersen , Alejandro F. Frangi

Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volumetric meshes derived from CMR images, which facilitate…

Image and Video Processing · Electrical Eng. & Systems 2025-05-20 Nicolás Gaggion , Benjamin A. Matheson , Yan Xia , Rodrigo Bonazzola , Nishant Ravikumar , Zeike A. Taylor , Diego H. Milone , Alejandro F. Frangi , Enzo Ferrante

Cardiovascular diseases (CVDs) remain the leading cause of mortality and morbidity worldwide. Both diagnosis and prognosis of these diseases benefit from high-quality imaging, which cardiac magnetic resonance imaging provides. CMR imaging…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Jaykumar H. Patel , Brenden T. Kadota , Calder D. Sheagren , Mark Chiew , Graham A. Wright

Accurate cardiac motion estimation from cine cardiac magnetic resonance (CMR) images is vital for assessing cardiac function and detecting its abnormalities. Existing methods often struggle to capture heart motion accurately because they…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Reza Akbari Movahed , Abuzar Rezaee , Arezoo Zakeri , Colin Berry , Edmond S. L. Ho , Ali Gooya

Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function. One disadvantage of CMR is that post-processing of exams is tedious. Without automation, precise assessment of cardiac function via CMR…

Computer Vision and Pattern Recognition · Computer Science 2017-04-17 Jesse Lieman-Sifry , Matthieu Le , Felix Lau , Sean Sall , Daniel Golden

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Qingjie Meng , Chen Qin , Wenjia Bai , Tianrui Liu , Antonio de Marvao , Declan P O'Regan , Daniel Rueckert

Background: Respiratory-resolved four-dimensional magnetic resonance imaging (4D-MRI) provides essential motion information for accurate radiation treatments of mobile tumors. However, obtaining high-quality 4D-MRI suffers from long…

Medical Physics · Physics 2023-08-04 Maarten Terpstra , Matteo Maspero , Joost Verhoeff , Cornelis van den Berg

In recent years, deep learning has attracted increasing attention in the field of Cardiac MRI (CMR) reconstruction due to its superior performance over traditional methods, particularly in handling higher acceleration factors, highlighting…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Donghang Lyu , Marius Staring , Hildo Lamb , Mariya Doneva

Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities. Mitigating artifacts arising during image reconstruction and accelerating cardiac cine MRI acquisition to…

Image and Video Processing · Electrical Eng. & Systems 2024-07-03 Xiaoxiang Han , Yang Chen , Qiaohong Liu , Yiman Liu , Keyan Chen , Yuanjie Lin , Weikun Zhang

In cardiac magnetic resonance (CMR) imaging, a 3D high-resolution segmentation of the heart is essential for detailed description of its anatomical structures. However, due to the limit of acquisition duration and respiratory/cardiac…

Image and Video Processing · Electrical Eng. & Systems 2021-07-09 Shuo Wang , Chen Qin , Nicolo Savioli , Chen Chen , Declan O'Regan , Stuart Cook , Yike Guo , Daniel Rueckert , Wenjia Bai

Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) enables us to probe the microstructural arrangement of cardiomyocytes within the myocardium in vivo and non-invasively, which no other imaging modality allows. This innovative technology…

Image and Video Processing · Electrical Eng. & Systems 2022-06-22 Michael Tanzer , Pedro Ferreira , Andrew Scott , Zohya Khalique , Maria Dwornik , Dudley Pennell , Guang Yang , Daniel Rueckert , Sonia Nielles-Vallespin

In recent years, machine learning (ML) based reconstruction has been widely investigated and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions can deliver clinically acceptable image quality under substantially…

Image and Video Processing · Electrical Eng. & Systems 2024-11-18 Chi Zhang , Michael Loecher , Cagan Alkan , Mahmut Yurt , Shreyas S. Vasanawala , Daniel B. Ennis

Four-dimensional MRI (4D-MRI) is an promising technique for capturing respiratory-induced motion in radiation therapy planning and delivery. Conventional 4D reconstruction methods, which typically rely on phase binning or separate template…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Xinyang Wu , Muheng Li , Xia Li , Orso Pusterla , Sairos Safai , Philippe C. Cattin , Antony J. Lomax , Ye Zhang

Background: Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Jennifer A. Steeden , Michael Quail , Alexander Gotschy , Andreas Hauptmann , Simon Arridge , Rodney Jones , Vivek Muthurangu

4D-flow magnetic resonance imaging (MRI) is an emerging imaging technique where spatiotemporal 3D blood velocity can be captured with full volumetric coverage in a single non-invasive examination. This enables qualitative and quantitative…

Image and Video Processing · Electrical Eng. & Systems 2020-04-16 Edward Ferdian , Avan Suinesiaputra , David Dubowitz , Debbie Zhao , Alan Wang , Brett Cowan , Alistair Young

Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis. Long in vivo scan times due to repeated three-dimensional (3D) volume sampling over cardiac phases…

Image and Video Processing · Electrical Eng. & Systems 2020-04-22 Valery Vishnevskiy , Jonas Walheim , Sebastian Kozerke

Cardiac magnetic resonance imaging (CMR) has emerged as a valuable diagnostic tool for cardiac diseases. However, a limitation of CMR is its slow imaging speed, which causes patient discomfort and introduces artifacts in the images. There…

Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) provides gold-standard insights into cardiac structure and…

Four-dimensional (4D) left ventricular myocardial velocity mapping (MVM) is a cardiac magnetic resonance (CMR) technique that allows assessment of cardiac motion in three orthogonal directions. Accurate and reproducible delineation of the…

Image and Video Processing · Electrical Eng. & Systems 2020-12-23 Yinzhe Wu , Suzan Hatipoglu , Diego Alonso-Álvarez , Peter Gatehouse , David Firmin , Jennifer Keegan , Guang Yang
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